diff --git a/.cspell.json b/.cspell.json index 9c2501fa5..b7fc9c016 100644 --- a/.cspell.json +++ b/.cspell.json @@ -70,8 +70,11 @@ "collab", "easyops", "figjam", + "graphify", + "graphifyy", "hideable", "learning", + "safishamsi", "smol", "subcat", "whiteboarding", diff --git a/.github/agents/experimental/graph-researcher.agent.md b/.github/agents/experimental/graph-researcher.agent.md new file mode 100644 index 000000000..4f62c2160 --- /dev/null +++ b/.github/agents/experimental/graph-researcher.agent.md @@ -0,0 +1,84 @@ +--- +name: Graph Researcher +description: "Answers structural questions about a codebase by querying a graphify-built knowledge graph through MCP tools, returning evidence-tagged findings" +--- + +# Graph Researcher + +Specialized researcher that answers questions about a codebase using a pre-built [graphify](../../skills/experimental/graphify/SKILL.md) knowledge graph. Use when the user asks structural questions ("what depends on X", "what cluster is Y in", "what connects A and B") that grep cannot answer cleanly. + +This agent does not build the graph. It assumes `graphify-out/graph.json` exists in the workspace and the `graphify` MCP server is registered in `.vscode/mcp.json`. If either is missing, surface the gap to the user with the exact remediation step from the skill. + +Read and follow the conventions in [graphify.instructions.md](../../instructions/experimental/graphify.instructions.md) for working-directory layout, audit-tag reporting, and confidence-score handling. + +## Required Phases + +### Phase 1: Verify the graph is available + +Before answering any question: + +1. Confirm `graphify-out/graph.json` exists at the workspace root. +2. Confirm at least one `mcp_graphify_*` tool is available in the current Copilot Chat session. +3. If either check fails, stop and report exactly one of: + * "No `graphify-out/graph.json` found. Build the graph first: `graphify . --mode standard --update`." + * "Graphify MCP server not registered. Add the snippet from the [graphify skill Quick Start](../../skills/experimental/graphify/SKILL.md#quick-start) to `.vscode/mcp.json` and reload the window." + +Do not proceed with speculative answers when the graph is unavailable. + +### Phase 2: Pick the right tool for the question + +Map the user's question to the smallest sufficient MCP tool: + +| Question shape | Tool | Why | +|------------------------------------------|------------------------------|-------------------------------------------------------------| +| "What is X?" / "Tell me about X" | `mcp_graphify_get_node` | Direct node fetch with metadata | +| "What does X depend on / call / import?" | `mcp_graphify_get_neighbors` | Edge-typed neighbour lookup | +| "What connects A and B?" | `mcp_graphify_shortest_path` | Returns path nodes + edge types | +| "What are the central pieces here?" | `mcp_graphify_god_nodes` | High-centrality top-N | +| "What clusters / themes exist?" | `mcp_graphify_graph_stats` | Communities, density, clustering coefficient | +| "What community contains X?" | `mcp_graphify_get_community` | Returns the cluster X belongs to | +| Open-ended exploration | `mcp_graphify_query_graph` | Use last; expensive and less deterministic than typed tools | + +Prefer typed tools over `query_graph` when the question fits a typed shape. Reserve `query_graph` for genuine exploration. + +### Phase 3: Report findings with audit tags + +Every answer must: + +1. Name the MCP tool(s) used and the node IDs touched. +2. Tag each load-bearing edge in the answer with its audit tag (`EXTRACTED`, `INFERRED`, `AMBIGUOUS`) and confidence score where present. +3. Distinguish "the graph says" from "I conclude". The graph is evidence, not an oracle. +4. Surface `AMBIGUOUS` edges to the user as open questions, not facts. +5. When the graph contradicts the user's stated assumption, say so directly. + +Example reporting shape: + +```text +Tool: mcp_graphify_shortest_path(from="auth_middleware.py", to="legacy_session_store") +Path: auth_middleware.py -> session_manager.py -> legacy_session_store +Edge tags: EXTRACTED, INFERRED (confidence 0.71) +Conclusion: There is a 2-hop dependency, but the second hop is INFERRED — the +LLM saw a likely reference. Verify by reading session_manager.py. +``` + +### Phase 4: Suggest the next read + +End every non-trivial answer with one suggested file or symbol the user should read next, picked from the graph result. This keeps the conversation grounded in the source rather than the graph. + +## Required Protocol + +1. Never invent edges or nodes. If a question cannot be answered from `mcp_graphify_*` tool output, say so and suggest a graph rebuild scope (e.g., "the docs aren't in this graph; rebuild with the `docs/` folder included"). +2. Never trigger a graph rebuild yourself. Builds are user-initiated because they have cost and time implications. +3. Never claim a path or relationship without naming the MCP tool call that produced it. +4. When the user asks a question that grep would answer faster (e.g., "where is the string 'TODO'?"), say so and decline gracefully — this agent is for structural questions. +5. When `mcp_graphify_graph_stats` shows the graph has more than ~30% `INFERRED` or `AMBIGUOUS` edges, warn the user that conclusions are tentative and suggest re-running with `--mode deep`. + +## Out of Scope + +* Building or rebuilding the graph (use the [graphify skill](../../skills/experimental/graphify/SKILL.md) Quick Start directly). +* Editing source files in response to graph findings (use a separate implementor agent). +* Semantic code review (use a code-review agent — graph centrality is not the same as code quality). + +> Brought to you by microsoft/hve-core + +*🤖 Crafted with precision by ✨Copilot following brilliant human instruction, then carefully refined by our team of discerning human reviewers.* diff --git a/.github/instructions/experimental/graphify.instructions.md b/.github/instructions/experimental/graphify.instructions.md new file mode 100644 index 000000000..9ff19eb75 --- /dev/null +++ b/.github/instructions/experimental/graphify.instructions.md @@ -0,0 +1,68 @@ +--- +description: "Conventions for working with graphify-out/ directories and graph-derived evidence" +applyTo: '**/graphify-out/**' +--- + +# Graphify Instructions + +Conventions that apply whenever Copilot reads, writes, or references files under any `graphify-out/` directory. These instructions govern the [graphify skill](../../skills/experimental/graphify/) and the [Graph Researcher agent](../../agents/experimental/graph-researcher.agent.md). + +## Working Directory + +A `graphify-out/` directory is generated build output. It contains: + +```text +graphify-out/ +├── graph.json # Canonical graph data — read-only for agents +├── graph.html # Interactive visualization +├── GRAPH_REPORT.md # God nodes, surprising connections, suggested questions +├── wiki/ # Per-community markdown articles +└── cache/ # SHA256 incremental cache (do not edit) +``` + +Rules: + +* Treat every file under `graphify-out/` as build output. Do not edit by hand. +* Add `graphify-out/` to the target repository's `.gitignore` before the first build. +* When reading `graph.json`, prefer MCP queries over direct JSON parsing. The MCP server applies confidence filtering and edge typing that raw JSON does not. + +## Audit-Tag Reporting + +Every edge in a graphify graph carries an audit tag: `EXTRACTED`, `INFERRED`, or `AMBIGUOUS`. When summarizing graph findings: + +| Tag | How to report | +|-------------|-----------------------------------------------------------------------------| +| `EXTRACTED` | State as fact: "X depends on Y." | +| `INFERRED` | Hedge with the confidence score: "X likely depends on Y (confidence 0.74)." | +| `AMBIGUOUS` | Surface as a question, not a claim: "It is unclear whether X depends on Y." | + +Never collapse multiple audit tags into a single sentence without distinguishing them. A path through the graph that contains both `EXTRACTED` and `INFERRED` edges is an `INFERRED` path overall — the chain is only as strong as its weakest edge. + +## Reading GRAPH_REPORT.md + +`GRAPH_REPORT.md` is a generated summary. When the user asks an open-ended exploration question ("what's interesting in this codebase?"), prefer reading `GRAPH_REPORT.md` over running multiple MCP queries — the report already contains god-node, surprising-connection, and suggested-question sections that are cheaper to read than to recompute. + +If `GRAPH_REPORT.md` is older than the most recent commit on the default branch, recommend a `graphify . --update` rebuild before relying on it. + +## Cost Discipline + +The deep-mode rebuild path issues many parallel Claude API calls. Agents must not trigger rebuilds autonomously. When a user's question would benefit from a fresher graph, surface the recommendation and the approximate cost-shape ("roughly N files changed since last build, expect a partial rebuild") and let the user decide. + +## Privacy and Upload Discipline + +Graphify's deep-extraction stage uploads file *contents* to the Claude API. Before recommending a deep rebuild, check: + +* Does the target tree contain secrets, credentials, or `.env` files that are not gitignored? +* Does the tree contain content under upload restrictions (customer data, regulated material)? + +If either is true, recommend `--mode fast` (no LLM, AST-only) instead, and note the reduced fidelity in the conversation. + +## Out of Scope + +These instructions do not cover: + +* How to install or configure `graphifyy` — see the [skill](../../skills/experimental/graphify/SKILL.md). +* How to register the MCP server with Copilot Chat — see the skill Quick Start. +* General code-review or refactor practices — graph centrality is not a code-quality signal. + +*🤖 Crafted with precision by ✨Copilot following brilliant human instruction, then carefully refined by our team of discerning human reviewers.* diff --git a/.github/skills/experimental/graphify/SKILL.md b/.github/skills/experimental/graphify/SKILL.md new file mode 100644 index 000000000..1d3cac5f8 --- /dev/null +++ b/.github/skills/experimental/graphify/SKILL.md @@ -0,0 +1,149 @@ +--- +name: graphify +description: 'Build and query knowledge graphs over a codebase using the graphifyy CLI and MCP server - Brought to you by microsoft/hve-core' +license: MIT +compatibility: 'Requires Python 3.10+, the graphifyy PyPI package (pinned), and an ANTHROPIC_API_KEY environment variable for the semantic-extraction stage. GitHub Copilot Chat uses the graphify MCP server for queries.' +metadata: + authors: "microsoft/hve-core" + spec_version: "1.0" + last_updated: "2026-04-29" +--- + +# Graphify Skill + +Use this skill to build a knowledge graph over a folder of source code, documentation, PDFs, and images, and to query that graph from GitHub Copilot Chat. The graph surfaces structural relationships, high-centrality nodes, and clusters that are not visible from grep alone. + +This skill wraps the upstream [`graphifyy`](https://pypi.org/project/graphifyy/) PyPI package — it does not reimplement Graphify. Pin a single version of `graphifyy` so behaviour stays stable as the upstream project iterates. + +## Third-Party Attribution + +Graphify is an MIT-licensed project by Safi Shamsi. See . This skill orchestrates the upstream CLI and MCP server; no upstream source is vendored. + +## Prerequisites + +| Requirement | Notes | +|---------------------|----------------------------------------------------------------------------------------------------------| +| Python 3.10+ | Match the upstream `graphifyy` minimum | +| `graphifyy` | Install with `pip install graphifyy==0.5.4`. The CLI binary is `graphify` (single `y`) | +| `ANTHROPIC_API_KEY` | Required for deep-mode semantic extraction. Each build issues parallel Claude calls — budget accordingly | +| MCP-capable client | GitHub Copilot Chat in VS Code 1.97+ reads `.vscode/mcp.json` and surfaces tools as `mcp_graphify_*` | + +Optional extras: + +| Extra | Purpose | +|--------------------|--------------------------------------------------------------------| +| `graphifyy[video]` | Adds yt-dlp + Whisper for transcribing audio/video sources | +| Neo4j driver | Required only if pushing the graph to a Neo4j instance for queries | +| `obsidian` extras | Required only when exporting an Obsidian vault | + +## Quick Start + +### 1. Build a graph + +```bash +graphify ./path/to/repo --mode deep --update +``` + +This writes outputs into `./path/to/repo/graphify-out/`: + +| File | Purpose | +|-------------------|--------------------------------------------------------------------------| +| `graph.json` | Canonical graph data (nodes, edges, communities, audit tags) | +| `graph.html` | Interactive vis.js visualization | +| `GRAPH_REPORT.md` | God nodes, surprising connections, suggested questions, token-cost table | +| `wiki/` | One markdown article per community (agent-crawlable) | +| `cache/` | SHA256 incremental cache for `--update` and `--watch` | + +The `graphify-out/` directory **must be gitignored** in target repositories. See [graphify.instructions.md](../../../instructions/experimental/graphify.instructions.md) for the canonical pattern. + +### 2. Register the MCP server with Copilot Chat + +Add `graphify` to the workspace's `.vscode/mcp.json`: + +```json +{ + "servers": { + "graphify": { + "command": "python3", + "args": ["-m", "graphify.serve", "graphify-out/graph.json"], + "type": "stdio" + } + } +} +``` + +Reload the VS Code window. Copilot Chat surfaces these tools (names follow GHCC's `mcp__` convention): + +| Tool | Purpose | +|------------------------------|---------------------------------------------------------------| +| `mcp_graphify_query_graph` | Free-form natural-language query against graph + communities | +| `mcp_graphify_get_node` | Fetch a node by ID with metadata | +| `mcp_graphify_get_neighbors` | Direct neighbours of a node, optionally filtered by edge type | +| `mcp_graphify_get_community` | All nodes in a community (cluster) | +| `mcp_graphify_god_nodes` | High-centrality nodes (top connectors) | +| `mcp_graphify_graph_stats` | Counts, density, clustering coefficient | +| `mcp_graphify_shortest_path` | Shortest path between two nodes | + +### 3. Ask Copilot Chat structural questions + +Once the MCP server is registered, the `@graph-researcher` agent (this collection) can answer questions like: + +* "What other modules are implicitly affected if I change `auth_middleware.py`?" +* "Which agents in `.github/agents/` are most connected to security artifacts?" +* "Show me the shortest path between `feature_x` and `legacy_config_y`." +* "What communities exist in this repo, and which one is the auth code in?" + +## Build Modes + +| Mode | Flag | When to use | +|--------------------|---------------|------------------------------------------------------------------------------------------------| +| Fast | `--mode fast` | AST/tree-sitter only. Deterministic, no LLM calls, no API key required. Use for CI smoke tests | +| Standard (default) | (no flag) | AST + selective semantic extraction. Reasonable cost, good coverage | +| Deep | `--mode deep` | Full parallel Claude semantic extraction. Highest fidelity, highest cost | +| Update | `--update` | Reuses the SHA256 cache; rebuilds only changed files. Safe to combine with any mode | +| Watch | `--watch` | Daemon mode; rebuilds on file change | + +For HVE Core's primary use case (analysing the artifact library itself), prefer `--mode standard --update`. + +## Edge Audit Tags + +Every edge in `graph.json` carries one of: + +| Tag | Meaning | +|-------------|----------------------------------------------------------------------------------| +| `EXTRACTED` | Derived deterministically from AST/tree-sitter — high confidence | +| `INFERRED` | Derived from LLM semantic extraction — medium confidence, has `confidence_score` | +| `AMBIGUOUS` | Multiple candidate interpretations — low confidence, surface to user | + +When the `@graph-researcher` agent answers a question, it must report the audit tag of the edges its conclusion rests on. Do not collapse `INFERRED` and `EXTRACTED` evidence in summaries. + +## Cost and Safety Notes + +* Deep-mode builds dispatch many parallel Claude calls. A first build over a 10k-file repo can run several USD; budget before enabling. +* Graphify uploads file *contents* to the Claude API during semantic extraction. Do not run deep mode against repositories containing secrets or content under upload restrictions. Use `--mode fast` (no LLM) for sensitive trees. +* The `cache/` directory under `graphify-out/` contains hashed file content snapshots. Treat it like build output — gitignore it. +* The MCP server reads `graph.json` from disk and exposes it over stdio. Do not commit `graph.json` to repos with private content. + +## Troubleshooting + +| Symptom | Cause | Resolution | +|--------------------------------------------------|-----------------------------------------------------------|-----------------------------------------------------------------------------| +| `graphify: command not found` | Wrong package name installed | The PyPI distribution name is `graphifyy` (double y); the CLI is `graphify` | +| `ANTHROPIC_API_KEY is not set` | Deep mode invoked without API credentials | Export the key, or downgrade to `--mode fast` | +| `graphify-out/graph.json not found` | MCP server started before first build | Run `graphify ` once before reloading the VS Code window | +| MCP tools not visible in Copilot Chat | `.vscode/mcp.json` missing or VS Code not reloaded | Confirm file path, then `Developer: Reload Window` | +| Graph contains no edges | Repository contains only file types Graphify cannot parse | Verify with `graphify --dry-run` to see detected file types | +| Stale results after edits | Cache hit on changed files | Run with `--update` (recommended) or delete `graphify-out/cache/` | +| Edge `INFERRED` confidence is low for many edges | Deep extraction over an unfamiliar codebase | Increase `--mode deep` budget or treat low-confidence edges as hypotheses | + +## Version Pinning Policy + +The upstream `graphifyy` project is on default branch `v5` with frequent releases. This skill pins to a specific version. Bumps to the pinned version follow the standard `feat(skills)` / `fix(skills)` commit flow and require: + +1. A re-run of the skill's regression tests in [tests/](tests/). +2. A diff review of the upstream `CHANGELOG` for breaking tool-name or output-shape changes that would invalidate `graph-researcher` agent assumptions. +3. A note in the version-bump commit body referencing the upstream tag. + +> Brought to you by microsoft/hve-core + +*🤖 Crafted with precision by ✨Copilot following brilliant human instruction, then carefully refined by our team of discerning human reviewers.* diff --git a/.github/skills/experimental/graphify/pyproject.toml b/.github/skills/experimental/graphify/pyproject.toml new file mode 100644 index 000000000..f4769ac9e --- /dev/null +++ b/.github/skills/experimental/graphify/pyproject.toml @@ -0,0 +1,37 @@ +[project] +name = "graphify-skill" +version = "0.0.0" +requires-python = ">=3.11" +dependencies = [ + "graphifyy==0.5.4", +] + +[dependency-groups] +dev = [ + "pytest>=9.0", + "pytest-cov>=7.0", + "pytest-mock>=3.14", + "ruff>=0.15", +] +# Atheris ships manylinux-only wheels; keep separate from dev so uv sync works on macOS. +fuzz = [ + "atheris>=3.0", +] + +[tool.pytest.ini_options] +testpaths = ["tests"] +pythonpath = ["scripts"] +python_files = ["test_*.py", "fuzz_harness.py"] + +[tool.coverage.run] +source = ["scripts"] + +[tool.coverage.report] +show_missing = true + +[tool.ruff] +line-length = 88 +target-version = "py311" + +[tool.ruff.lint] +select = ["E", "F", "I", "W"] diff --git a/.github/skills/experimental/graphify/scripts/graphify_wrapper.py b/.github/skills/experimental/graphify/scripts/graphify_wrapper.py new file mode 100644 index 000000000..b117b570f --- /dev/null +++ b/.github/skills/experimental/graphify/scripts/graphify_wrapper.py @@ -0,0 +1,38 @@ +# Copyright (c) Microsoft Corporation. +# SPDX-License-Identifier: MIT +"""Thin wrapper around the upstream `graphify` CLI. + +This skill orchestrates the upstream graphifyy package; it does not reimplement +graph construction. The wrapper exists so the skill exposes a stable subprocess +entry point and so tests can mock the CLI boundary. +""" + +from __future__ import annotations + +import shutil +import subprocess +from pathlib import Path + + +class GraphifyNotInstalledError(RuntimeError): + """Raised when the `graphify` CLI binary cannot be located on PATH.""" + + +def graphify_executable() -> str: + """Return the absolute path to the `graphify` CLI or raise.""" + path = shutil.which("graphify") + if path is None: + raise GraphifyNotInstalledError( + "graphify CLI not found on PATH. Install with `pip install graphifyy`." + ) + return path + + +def build_graph(target: Path, mode: str = "standard", update: bool = True) -> int: + """Invoke `graphify --mode [--update]` and return its exit code.""" + if mode not in {"fast", "standard", "deep"}: + raise ValueError(f"unsupported mode: {mode!r}") + cmd = [graphify_executable(), str(target), "--mode", mode] + if update: + cmd.append("--update") + return subprocess.run(cmd, check=False).returncode diff --git a/.github/skills/experimental/graphify/tests/corpus/0_deep b/.github/skills/experimental/graphify/tests/corpus/0_deep new file mode 100644 index 000000000..d1f857b3c --- /dev/null +++ b/.github/skills/experimental/graphify/tests/corpus/0_deep @@ -0,0 +1 @@ +deep \ No newline at end of file diff --git a/.github/skills/experimental/graphify/tests/corpus/0_empty b/.github/skills/experimental/graphify/tests/corpus/0_empty new file mode 100644 index 000000000..e69de29bb diff --git a/.github/skills/experimental/graphify/tests/corpus/0_fast b/.github/skills/experimental/graphify/tests/corpus/0_fast new file mode 100644 index 000000000..a1c62fa9f --- /dev/null +++ b/.github/skills/experimental/graphify/tests/corpus/0_fast @@ -0,0 +1 @@ +fast \ No newline at end of file diff --git a/.github/skills/experimental/graphify/tests/corpus/0_long_garbage b/.github/skills/experimental/graphify/tests/corpus/0_long_garbage new file mode 100644 index 000000000..f2d4cbf58 --- /dev/null +++ b/.github/skills/experimental/graphify/tests/corpus/0_long_garbage @@ -0,0 +1 @@ +aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa \ No newline at end of file diff --git a/.github/skills/experimental/graphify/tests/corpus/0_null_bytes b/.github/skills/experimental/graphify/tests/corpus/0_null_bytes new file mode 100644 index 000000000..eaf36c1da Binary files /dev/null and b/.github/skills/experimental/graphify/tests/corpus/0_null_bytes differ diff --git a/.github/skills/experimental/graphify/tests/corpus/0_standard b/.github/skills/experimental/graphify/tests/corpus/0_standard new file mode 100644 index 000000000..aa0bc074b --- /dev/null +++ b/.github/skills/experimental/graphify/tests/corpus/0_standard @@ -0,0 +1 @@ +standard \ No newline at end of file diff --git a/.github/skills/experimental/graphify/tests/corpus/0_unicode b/.github/skills/experimental/graphify/tests/corpus/0_unicode new file mode 100644 index 000000000..58e4fbd2f --- /dev/null +++ b/.github/skills/experimental/graphify/tests/corpus/0_unicode @@ -0,0 +1 @@ +深度模式 \ No newline at end of file diff --git a/.github/skills/experimental/graphify/tests/corpus/0_unknown b/.github/skills/experimental/graphify/tests/corpus/0_unknown new file mode 100644 index 000000000..87edf799f --- /dev/null +++ b/.github/skills/experimental/graphify/tests/corpus/0_unknown @@ -0,0 +1 @@ +unknown \ No newline at end of file diff --git a/.github/skills/experimental/graphify/tests/corpus/README.md b/.github/skills/experimental/graphify/tests/corpus/README.md new file mode 100644 index 000000000..907de125b --- /dev/null +++ b/.github/skills/experimental/graphify/tests/corpus/README.md @@ -0,0 +1,46 @@ +--- +title: Fuzz Corpus Seeds +description: Seed inputs for coverage-guided fuzzing with the Atheris fuzz harness +author: Microsoft +ms.date: 2026-05-04 +ms.topic: reference +keywords: + - fuzz + - corpus + - atheris + - graphify +estimated_reading_time: 2 +--- + + +# Fuzz Corpus Seeds + +Seed inputs for the Atheris fuzz harness in `tests/fuzz_harness.py`. Each file +is raw bytes consumed by `fuzz_build_graph_mode`, which interprets the input +as a candidate `mode` argument to `graphify_wrapper.build_graph` (truncated to +16 chars). + +## Seeds + +| File | Purpose | +|------------------|------------------------------------------------------------------------| +| `0_empty` | Empty input - exercises the empty-string branch | +| `0_fast` | Valid `fast` mode | +| `0_standard` | Valid `standard` mode | +| `0_deep` | Valid `deep` mode | +| `0_unknown` | Unknown mode - must raise `ValueError` | +| `0_null_bytes` | Non-UTF-8 / control bytes - exercises decode-error path | +| `0_unicode` | Multi-byte UTF-8 - exercises the unicode-truncation path | +| `0_long_garbage` | Input longer than the 16-char truncation window | + +## Usage + +```bash +cd .github/skills/experimental/graphify +uv sync --group fuzz +uv run python tests/fuzz_harness.py tests/corpus/ +``` + +Atheris loads corpus files as starting inputs for coverage-guided mutation. + +*🤖 Crafted with precision by ✨Copilot following brilliant human instruction, then carefully refined by our team of discerning human reviewers.* diff --git a/.github/skills/experimental/graphify/tests/fuzz_harness.py b/.github/skills/experimental/graphify/tests/fuzz_harness.py new file mode 100644 index 000000000..41effd6db --- /dev/null +++ b/.github/skills/experimental/graphify/tests/fuzz_harness.py @@ -0,0 +1,49 @@ +# Copyright (c) Microsoft Corporation. +# SPDX-License-Identifier: MIT +"""Polyglot fuzz harness for the graphify skill wrapper. + +Runs as a pytest test when Atheris is not installed (CI default). +Runs as an Atheris coverage-guided fuzz target when executed directly. +""" + +from __future__ import annotations + +import sys +from contextlib import suppress +from pathlib import Path + +try: + import atheris + + FUZZING = True +except ImportError: + FUZZING = False + +from graphify_wrapper import build_graph + + +def fuzz_build_graph_mode(data: bytes) -> None: + """Fuzz build_graph mode validation. The wrapper must reject unknown modes + with ValueError without ever invoking subprocess.""" + if FUZZING: + fdp = atheris.FuzzedDataProvider(data) + mode = fdp.ConsumeUnicodeNoSurrogates(16) + else: + mode = data.decode("utf-8", errors="ignore")[:16] + with suppress(ValueError): + build_graph(Path("."), mode=mode, update=False) + + +def test_fuzz_build_graph_mode() -> None: + """Pytest entry point — feeds a small fixed corpus through the harness.""" + for sample in (b"", b"fast", b"deep", b"unknown", b"\x00\x01\x02"): + fuzz_build_graph_mode(sample) + + +def main() -> None: + atheris.Setup(sys.argv, fuzz_build_graph_mode) + atheris.Fuzz() + + +if __name__ == "__main__" and FUZZING: + main() diff --git a/.github/skills/experimental/graphify/tests/test_graphify_wrapper.py b/.github/skills/experimental/graphify/tests/test_graphify_wrapper.py new file mode 100644 index 000000000..bb15e0335 --- /dev/null +++ b/.github/skills/experimental/graphify/tests/test_graphify_wrapper.py @@ -0,0 +1,45 @@ +# Copyright (c) Microsoft Corporation. +# SPDX-License-Identifier: MIT +"""Tests for the graphify subprocess wrapper.""" + +from __future__ import annotations + +from pathlib import Path + +import pytest +from graphify_wrapper import ( + GraphifyNotInstalledError, + build_graph, + graphify_executable, +) + +GRAPHIFY_BIN = "/usr/local/bin/graphify" + + +def test_graphify_executable_raises_when_missing(monkeypatch): + monkeypatch.setattr("graphify_wrapper.shutil.which", lambda _: None) + with pytest.raises(GraphifyNotInstalledError): + graphify_executable() + + +def test_build_graph_rejects_unknown_mode(monkeypatch): + monkeypatch.setattr("graphify_wrapper.shutil.which", lambda _: GRAPHIFY_BIN) + with pytest.raises(ValueError): + build_graph(Path("."), mode="ultra") + + +def test_build_graph_invokes_subprocess(monkeypatch): + monkeypatch.setattr("graphify_wrapper.shutil.which", lambda _: GRAPHIFY_BIN) + captured: dict[str, list[str]] = {} + + class FakeCompleted: + returncode = 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".github/skills/experimental": true, ".github/skills/github": true, ".github/skills/gitlab": true, ".github/skills/jira": true, ".github/skills/security": true, - ".github/skills/shared": true }, "github.copilot.chat.commitMessageGeneration.instructions": [ { diff --git a/CLAUDE.md b/CLAUDE.md new file mode 100644 index 000000000..d905c5828 --- /dev/null +++ b/CLAUDE.md @@ -0,0 +1,128 @@ +--- +title: CLAUDE.md +description: Guidance for Claude Code (claude.ai/code) sessions working in the hve-core repository +author: Microsoft +ms.date: 2026-04-29 +ms.topic: guide +keywords: + - claude code + - agent guidance + - hve-core + - development +estimated_reading_time: 5 +--- + +This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository. + +## What this repo is + +HVE Core (Hypervelocity Engineering Core) is **not a runtime application**. It is a Microsoft-published library of GitHub Copilot customization artifacts (agents, coding instructions, reusable prompts, and skills) distributed as VS Code extensions. The repo's "build" is validation, packaging, and plugin/collection generation; there is no application server, no compiled output, no end-user feature code in the traditional sense. + +Authoritative authoring rules live in [.github/copilot-instructions.md](.github/copilot-instructions.md). Read it before edits: its "Priority Rules" section overrides general guidance. + +## Architecture: artifacts to collections to plugins to extensions + +There are exactly four artifact types, each with its own filename suffix and frontmatter shape: + +| Artifact | Path | Suffix | Key frontmatter | +|--------------|---------------------------------------------------------------------------------------|---------------------|------------------------------------------------------------| +| Agents | `.github/agents//` (subagents under `subagents/`) | `*.agent.md` | `name`, `description`, optional `agents:` (subagent globs) | +| Instructions | `.github/instructions//` | `*.instructions.md` | `description`, `applyTo` (glob) | +| Prompts | `.github/prompts//` | `*.prompt.md` | `description`, `agent`, `argument-hint` | +| Skills | `.github/skills///SKILL.md` (+ `references/`, `scripts/`, `tests/`) | `SKILL.md` | `name`, `description`, `license`, `user-invocable` | + +The pipeline you must understand: + +1. Authors edit artifacts under `.github/{agents,instructions,prompts,skills}//`. +2. `collections/.collection.yml` lists the artifacts in each bundle (with `path` + `kind`); `.collection.md` describes it. +3. `npm run plugin:generate` reads the collection manifests and writes generated outputs under `plugins/`. **Files in `plugins/` are generated. Never edit them directly.** The generate step also runs `lint:md:fix` and `format:tables` as post-processing. +4. `extension/` packages selected plugins into VSIX files for the VS Code Marketplace. + +### Critical rules tied to this pipeline + +* When you add, move, or remove any agent, instruction, prompt, skill, or subagent, update every affected `collections/*.collection.yml` and `*.collection.md`, then run `npm run plugin:generate` and `npm run plugin:validate`. +* Subagents declared in a parent agent's `agents:` frontmatter (matched via globs like `.github/agents/**/researcher-subagent.agent.md`) must also be listed in any collection that ships the parent. +* Artifacts placed at the root of `.github/agents/`, `.github/instructions/`, `.github/prompts/`, or `.github/skills/` (no `/` subdir) are intentionally repo-only: excluded from collections, plugin generation, and extension packaging. Validation enforces this. +* AI-workflow scratch state lives under `.copilot-tracking/` (gitignored). Never commit anything from there. + +## Common commands + +Run everything via npm scripts. Never invoke Pester, PSScriptAnalyzer, ruff, or pytest directly. + +```bash +# Full validation gate (matches CI). Run this before pushing. +npm run lint:all + +# Targeted linters +npm run lint:md # markdownlint-cli2 +npm run lint:ps # PSScriptAnalyzer +npm run lint:yaml # YAML +npm run lint:frontmatter # schema-validate frontmatter (schemas in scripts/linting/schemas/) +npm run lint:md-links # markdown link check +npm run lint:collections-metadata # collections/*.collection.yml +npm run lint:marketplace # VSIX marketplace metadata +npm run lint:dependency-pinning # SHA pinning of GitHub Actions +npm run lint:permissions # workflow permission scopes +npm run lint:py # ruff +npm run validate:skills # skill directory structure +npm run validate:copyright # copyright headers (incl. bash files) +npm run spell-check # cspell +npm run format:tables # markdown-table-formatter + +# PowerShell tests +npm run test:ps # all +npm run test:ps -- -TestPath "scripts/tests/linting/" # one directory +npm run test:ps -- -TestPath "scripts/tests/security/Test-DependencyPinning.Tests.ps1" # one file + +# Python tests +npm run test:py + +# Plugin/extension regeneration (run after collection or artifact changes) +npm run plugin:generate +npm run plugin:validate +npm run extension:prepare +npm run extension:package + +# Docs (Docusaurus site) +npm run docs:build && npm run docs:serve +``` + +### Test output protocol + +Pester writes structured results to `logs/` regardless of how it was invoked: + +* `logs/pester-summary.json` (pass/fail counts, duration, status) +* `logs/pester-failures.json` (failure name, file, message, stack) + +After running `npm run test:ps`, read `pester-summary.json` to confirm status, then `pester-failures.json` if anything failed. The `logs/` directory is gitignored, so use search tools that include ignored files when grepping there. Most lint scripts also emit JSON results into `logs/` (e.g. `logs/python-lint-results.json`, `logs/action-version-consistency-results.json`). + +## Conventions that matter for edits + +| Topic | Rule | +|------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| +| Test location | PowerShell tests mirror source: `scripts/linting/Foo.ps1` to `scripts/tests/linting/Test-Foo.Tests.ps1`. Skill tests are the exception: they live inside the skill at `.github/skills///tests/`. | +| Python skills | Every Python-bearing skill needs a `pyproject.toml` with `[tool.ruff]` (required) and, when `tests/` exists, `[tool.pytest.ini_options]` with `python_files = ["test_*.py", "fuzz_harness.py"]`, plus a polyglot Atheris fuzz harness at `tests/fuzz_harness.py` and a `fuzz` dependency group with `atheris>=3.0` (kept separate from `dev` because there are no macOS wheels). Enforced by `validate:skills`. | +| Conventional Commits | Drive releases via release-please. Scopes map to directories: `(agents)` to `.github/agents/`, `(instructions)`, `(prompts)`, `(skills)`, `(scripts)`, `(extension)`, `(collections)`, `(workflows)`, `(docs)`, `(ci)`, `(build)`, `(settings)`. `feat:` is a minor bump, `fix:` is a patch, `docs:` / `chore:` / `refactor:` skip the bump, `feat!:` or `BREAKING CHANGE:` is a major bump. | +| Markdown style | Lists use `*`, not `-`. Em dashes are banned (use colons, commas, or parentheses). Bolded-prefix list items (`* **Label**: text`) are banned (use tables or headings). Enforced by markdownlint-cli2 + a custom search-replace rule. | +| Comments | Brief, factual, behavioral. No narrative reasoning, no "phase 2" / dated / task-id markers (strip them on touch per Priority Rules). | +| Backward compatibility | Opt-in. Breaking changes are acceptable; do not add compat shims unless explicitly requested. | +| Tests, scripts, docs | Opt-in. Do not create them unless the task asks. (Genuine new functionality still requires tests per CONTRIBUTING.md, which is a different axis.) | +| Error handling | Root-cause over symptom. Fix unrelated breakage you encounter while in the area; do not paper over it. | + +## Environments + +* DevContainer ([.devcontainer/README.md](.devcontainer/README.md)) is the recommended local setup: Node 24, Python 3.11, PowerShell 7, gitleaks, all linters preinstalled. +* Copilot Coding Agent uses `.github/workflows/copilot-setup-steps.yml` as a parallel cloud environment. It mirrors the devcontainer but excludes gitleaks. When adding or removing tooling, evaluate whether both environments need the change. + +## Where to look first + +* Authoring rules and full directory map: [.github/copilot-instructions.md](.github/copilot-instructions.md) +* Contribution and release process: [CONTRIBUTING.md](CONTRIBUTING.md) +* Artifact contribution guides: [docs/contributing/](docs/contributing/) +* Common standards across all artifact types: [docs/contributing/ai-artifacts-common.md](docs/contributing/ai-artifacts-common.md) +* Frontmatter schemas: [scripts/linting/schemas/](scripts/linting/schemas/) (mapping in `schema-mapping.json`) +* Shared CI helpers: [scripts/lib/Modules/CIHelpers.psm1](scripts/lib/Modules/CIHelpers.psm1) + +--- + +*🤖 Crafted with precision by ✨Copilot following brilliant human instruction, then carefully refined by our team of discerning human reviewers.* diff --git a/collections/experimental.collection.md b/collections/experimental.collection.md index 48f4d2feb..5e2ba44f9 100644 --- a/collections/experimental.collection.md +++ b/collections/experimental.collection.md @@ -7,6 +7,7 @@ Experimental and preview artifacts not yet promoted to stable collections. Items | Name | Description | |-------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------| | **experiment-designer** | Conversational coach that guides users through designing a Minimum Viable Experiment (MVE) with structured hypothesis formation, vetting, and experiment planning | +| **graph-researcher** | Answers structural questions about a codebase by querying a graphify-built knowledge graph through MCP tools, returning evidence-tagged findings | | **pptx** | Creates, updates, and manages PowerPoint slide decks using YAML-driven content with python-pptx | | **pptx-subagent** | Executes PowerPoint skill operations including content extraction, YAML creation, deck building, and visual validation | @@ -15,6 +16,7 @@ Experimental and preview artifacts not yet promoted to stable collections. Items | Name | Description | |--------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | **experimental/experiment-designer** | MVE domain knowledge and coaching conventions for the Experiment Designer agent | +| **experimental/graphify** | Conventions for working with graphify-out/ directories and graph-derived evidence | | **experimental/pptx** | Shared conventions for PowerPoint Builder agent, subagent, and powerpoint skill | | **shared/hve-core-location** | Important: hve-core is the repository containing this instruction file; Guidance: if a referenced prompt, instructions, agent, or script is missing in the current directory, fall back to this hve-core location by walking up this file's directory tree. | @@ -23,6 +25,7 @@ Experimental and preview artifacts not yet promoted to stable collections. Items | Name | Description | |--------------------------|----------------------------------------------------------------------------------------------------------------------------------------------| | **customer-card-render** | Generate customer-card PowerPoint content YAML from Design Thinking canonical artifacts and build using the shared PowerPoint skill pipeline | +| **graphify** | Build and query knowledge graphs over a codebase using the graphifyy CLI and MCP server | | **powerpoint** | PowerPoint slide deck generation and management using python-pptx with YAML-driven content and styling | | **video-to-gif** | Video-to-GIF conversion skill with FFmpeg two-pass optimization | | **vscode-playwright** | VS Code screenshot capture using Playwright MCP with serve-web for slide decks and documentation | diff --git a/collections/experimental.collection.yml b/collections/experimental.collection.yml index eba69bc46..6ed65f045 100644 --- a/collections/experimental.collection.yml +++ b/collections/experimental.collection.yml @@ -9,6 +9,8 @@ items: # Agents - path: .github/agents/experimental/experiment-designer.agent.md kind: agent + - path: .github/agents/experimental/graph-researcher.agent.md + kind: agent - path: .github/agents/experimental/pptx.agent.md kind: agent - path: .github/agents/experimental/subagents/pptx-subagent.agent.md @@ -16,6 +18,8 @@ items: # Skills - path: .github/skills/experimental/customer-card-render kind: skill + - path: .github/skills/experimental/graphify + kind: skill - path: .github/skills/experimental/powerpoint kind: skill - path: .github/skills/experimental/video-to-gif @@ -25,6 +29,8 @@ items: # Instructions - path: .github/instructions/experimental/experiment-designer.instructions.md kind: instruction + - path: .github/instructions/experimental/graphify.instructions.md + kind: instruction - path: .github/instructions/experimental/pptx.instructions.md kind: instruction - path: .github/instructions/shared/hve-core-location.instructions.md diff --git a/collections/hve-core-all.collection.md b/collections/hve-core-all.collection.md index ce848da12..d03e089a8 100644 --- a/collections/hve-core-all.collection.md +++ b/collections/hve-core-all.collection.md @@ -31,6 +31,7 @@ Use this edition when you want access to everything without choosing a focused c | **gen-jupyter-notebook** | Create structured exploratory data analysis Jupyter notebooks from available data sources and generated data dictionaries | | **gen-streamlit-dashboard** | Develop a multi-page Streamlit dashboard | | **github-backlog-manager** | Orchestrator agent for GitHub backlog management workflows including triage, discovery, sprint planning, and execution | +| **graph-researcher** | Answers structural questions about a codebase by querying a graphify-built knowledge graph through MCP tools, returning evidence-tagged findings | | **implementation-validator** | Validates implementation quality against architectural requirements, design principles, and code standards with severity-graded findings | | **jira-backlog-manager** | Orchestrator agent for Jira backlog management workflows including discovery, triage, execution, and single-issue actions | | **jira-prd-to-wit** | Product Manager expert for analyzing PRDs and planning Jira issue hierarchies without mutating Jira | @@ -209,6 +210,7 @@ Use this edition when you want access to everything without choosing a focused c | **design-thinking/dt-rpi-review-context** | DT-aware Task Reviewer context: quality criteria for Design Thinking artifacts | | **design-thinking/dt-subagent-handoff** | DT subagent handoff workflow: readiness assessment, artifact compilation, and handoff validation via subagent dispatch | | **experimental/experiment-designer** | MVE domain knowledge and coaching conventions for the Experiment Designer agent | +| **experimental/graphify** | Conventions for working with graphify-out/ directories and graph-derived evidence | | **experimental/pptx** | Shared conventions for PowerPoint Builder agent, subagent, and powerpoint skill | | **github/community-interaction** | Community interaction voice, tone, and response templates for GitHub-facing agents and prompts | | **github/github-backlog-discovery** | Discovery protocol for GitHub backlog management - artifact-driven, user-centric, and search-based issue discovery | @@ -255,6 +257,7 @@ Use this edition when you want access to everything without choosing a focused c | **customer-card-render** | Generate customer-card PowerPoint content YAML from Design Thinking canonical artifacts and build using the shared PowerPoint skill pipeline | | **gh-code-scanning** | Retrieves and groups GitHub code scanning alerts by rule and severity using the gh CLI | | **gitlab** | Manage GitLab merge requests and pipelines with a Python CLI | +| **graphify** | Build and query knowledge graphs over a codebase using the graphifyy CLI and MCP server | | **hve-core-installer** | Decision-driven installer for HVE-Core with 6 clone-based installation methods, extension quick-install, environment detection, and agent customization workflows | | **jira** | Jira issue workflows for search, issue updates, transitions, comments, and field discovery via the Jira REST API. Use when you need to search with JQL, inspect an issue, create or update work items, move an issue between statuses, post comments, or discover required fields for issue creation. | | **owasp-agentic** | OWASP Agentic Security Top 10 vulnerability knowledge base for identifying, assessing, and remediating security risks in AI agent systems - Brought to you by microsoft/hve-core. | diff --git a/collections/hve-core-all.collection.yml b/collections/hve-core-all.collection.yml index eb93015a8..e34a4f4e1 100644 --- a/collections/hve-core-all.collection.yml +++ b/collections/hve-core-all.collection.yml @@ -36,6 +36,8 @@ items: maturity: preview - path: .github/agents/experimental/experiment-designer.agent.md kind: agent +- path: .github/agents/experimental/graph-researcher.agent.md + kind: agent - path: .github/agents/experimental/pptx.agent.md kind: agent - path: .github/agents/experimental/subagents/pptx-subagent.agent.md @@ -474,6 +476,8 @@ items: maturity: preview - path: .github/instructions/experimental/experiment-designer.instructions.md kind: instruction +- path: .github/instructions/experimental/graphify.instructions.md + kind: instruction - path: .github/instructions/experimental/pptx.instructions.md kind: instruction - path: .github/instructions/github/community-interaction.instructions.md @@ -573,6 +577,8 @@ items: maturity: experimental - path: .github/skills/experimental/customer-card-render kind: skill +- path: .github/skills/experimental/graphify + kind: skill - path: .github/skills/experimental/powerpoint kind: skill - path: .github/skills/experimental/video-to-gif diff --git a/docs/agents/README.md b/docs/agents/README.md index b12f5b58d..db7836561 100644 --- a/docs/agents/README.md +++ b/docs/agents/README.md @@ -29,6 +29,7 @@ hve-core organizes specialized agents into functional groups. Each group combine | Infrastructure | 1 | Very High | Planned | | Utility | 1 | Low-Medium | [Memory Agent](github-backlog/using-together.md#session-persistence) | | [Design Thinking](#design-thinking) | 2 | High | Active | +| [Graph Research](#graph-research) | 1 | Medium | [Graph Researcher](graphify/README.md) (experimental) | ## RPI Orchestration @@ -89,6 +90,10 @@ The Design Thinking agents provide AI-assisted coaching through a nine-method, t | `dt-coach` | Coaches teams through all 9 DT methods with session tracking | | `dt-learning-tutor` | Teaches DT curriculum with exercises and assessments | +## Graph Research + +The graph-researcher agent answers structural questions about a codebase by querying a knowledge graph built with the upstream `graphifyy` package. The graph spans code, docs, PDFs, and images; edges are tagged `EXTRACTED`, `INFERRED`, or `AMBIGUOUS` so every conclusion carries explicit evidence. Ships in the experimental collection. See the [Graph Research Documentation](graphify/README.md) for the workflow, MCP setup, and cost considerations. + > Brought to you by microsoft/hve-core --- diff --git a/docs/agents/graphify/README.md b/docs/agents/graphify/README.md new file mode 100644 index 000000000..9a8ce1931 --- /dev/null +++ b/docs/agents/graphify/README.md @@ -0,0 +1,157 @@ +--- +title: Graph Research +description: Experimental agent and skill that build a knowledge graph over a codebase and let GitHub Copilot Chat answer structural questions through MCP queries +sidebar_position: 1 +sidebar_label: Overview +keywords: + - graphify + - knowledge graph + - codebase analysis + - copilot chat + - mcp + - dependency analysis +tags: + - agents + - experimental + - knowledge-graph +author: Microsoft +ms.date: 2026-04-29 +ms.topic: concept +estimated_reading_time: 7 +--- + +:::warning Experimental +Graph Research ships in the [`experimental`](../../getting-started/collections.md) collection. It depends on the upstream [`graphifyy`](https://pypi.org/project/graphifyy/) Python package, which iterates rapidly. Pin a specific version and expect occasional breaking changes. +::: + +The Graph Research workflow turns a folder of source code, documentation, PDFs, and images into a navigable knowledge graph, then lets you query that graph from GitHub Copilot Chat. It surfaces structural relationships that grep cannot answer cleanly: "what depends on this module," "what cluster does this file belong to," "what is the shortest path between feature X and config Y." + +> The goal is not to replace grep or your IDE's "Find All References." It is to answer the *structural* questions that those tools cannot: god nodes, communities, multi-hop relationships, and surprising connections across file types. + +## Why Use Graph Research? + +| Benefit | Description | +|-----------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------| +| Structural awareness | Get answers like "what is implicitly affected if I change `auth_middleware.py`?" without reading every importer by hand | +| Audit-tagged evidence | Every edge in the graph is tagged `EXTRACTED` (deterministic AST), `INFERRED` (LLM-derived, with confidence score), or `AMBIGUOUS` (multiple candidates) | +| Mixed-input ingestion | The graph spans code, markdown, PDFs, and images, so a docs/code drift question can be answered as a single query | +| MCP-native | Tools surface in Copilot Chat as `mcp_graphify_*`, so the agent uses typed queries (shortest path, neighbors, community) rather than free-form retrieval | + +## How It Fits Together + +```mermaid +flowchart LR + subgraph Build + A["graphify CLI
(graphifyy package)"] --> B["graphify-out/
graph.json + report"] + end + + subgraph Query + B --> C["Graphify MCP server
(stdio)"] + C --> D["Copilot Chat
mcp_graphify_* tools"] + D --> E["@graph-researcher
agent"] + end + + F["You: ask a structural question"] --> E + E --> G["Evidence-tagged answer
+ next-read suggestion"] +``` + +The build step is run on demand from the terminal. The query step is fully inside Copilot Chat, mediated by the agent and MCP server. + +## Three Steps to Get Started + +### 1. Install and build the graph + +```bash +pip install graphifyy==0.5.4 +graphify . --mode standard --update +``` + +The first build can take several minutes and (in `deep` mode) issues parallel Claude API calls against your `ANTHROPIC_API_KEY`. For a quick first pass, use `--mode fast` (deterministic AST only, no LLM calls, no API key required). + +Outputs land in `graphify-out/`. Add the directory to `.gitignore` before the first build. + +### 2. Register the MCP server with Copilot Chat + +Add an entry to your workspace's `.vscode/mcp.json`: + +```json +{ + "servers": { + "graphify": { + "command": "python3", + "args": ["-m", "graphify.serve", "graphify-out/graph.json"], + "type": "stdio" + } + } +} +``` + +Reload the VS Code window. The seven `mcp_graphify_*` tools appear in the Copilot Chat tool list. + +### 3. Ask the Graph Researcher agent + +In Copilot Chat, address `@graph-researcher` with a structural question. The agent picks the smallest sufficient MCP tool, reports findings with audit tags, and ends with one suggested file to read next. + +## Questions It Answers Well + +| Question | Tool used | +|--------------------------------------------------------------------|------------------------------| +| "What other modules are implicitly affected if I change file X?" | `mcp_graphify_get_neighbors` | +| "Show me the shortest path between feature A and legacy module B." | `mcp_graphify_shortest_path` | +| "Which files are the most-connected hubs in this repo?" | `mcp_graphify_god_nodes` | +| "What community does this auth code belong to?" | `mcp_graphify_get_community` | +| "What clusters or themes exist in this codebase?" | `mcp_graphify_graph_stats` | + +## Questions It Does Not Answer Well + +* "Where is the literal string `'TODO'`?" (use grep, not the graph) +* "Is this code correct?" (graph centrality is not a code-quality signal) +* "What did this commit change?" (use git, not the graph) + +The agent declines these gracefully and points you to the right tool. + +## Reading the Audit Tags + +Every conclusion the agent reports identifies the evidence behind it: + +| Tag | How the agent reports it | +|-------------|--------------------------------------------------------------------| +| `EXTRACTED` | Stated as fact: "X depends on Y." | +| `INFERRED` | Hedged with confidence: "X likely depends on Y (confidence 0.74)." | +| `AMBIGUOUS` | Surfaced as a question: "It is unclear whether X depends on Y." | + +A path through the graph is only as strong as its weakest edge. A two-hop path that combines `EXTRACTED` and `INFERRED` is reported as inferred overall. + +## Cost and Privacy + +Two things to think about before running `--mode deep`: + +1. **Cost.** Deep mode dispatches many parallel Claude API calls. A first build over a 10k-file repo can run several USD. Subsequent builds with `--update` reuse a SHA256 cache and only re-process changed files. +2. **Upload scope.** Deep mode uploads file *contents* to the Claude API for semantic extraction. Do not run deep mode against trees containing secrets, credentials, or content under upload restrictions. Use `--mode fast` for sensitive trees (AST-only, no LLM). + +The agent will warn before recommending a deep rebuild and will recommend `--mode fast` when it detects sensitive files. + +## What Ships With This Workflow + +| Artifact | Role | +|---------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------| +| [`graphify` skill](https://github.com/microsoft/hve-core/blob/main/.github/skills/experimental/graphify/SKILL.md) | Technical reference: install, build modes, MCP registration, troubleshooting | +| [`@graph-researcher` agent](https://github.com/microsoft/hve-core/blob/main/.github/agents/experimental/graph-researcher.agent.md) | Orchestrates queries, picks the right MCP tool, reports findings with audit tags | +| [`graphify-out/**` instruction](https://github.com/microsoft/hve-core/blob/main/.github/instructions/experimental/graphify.instructions.md) | Auto-applies whenever Copilot reads files under `graphify-out/` | + +## Promotion Path + +Graph Research lives in `experimental` because the upstream `graphifyy` project is young and iterates rapidly. Promotion to a stable collection requires: + +* Several minor-version bumps without breaking changes to the MCP tool surface +* A vetted version-pinning policy with a CHANGELOG-diff review process (already in place; see the skill) +* Independent confirmation of the deep-mode cost envelope on representative repos + +## Where Next + +* Skill technical reference: [`SKILL.md`](https://github.com/microsoft/hve-core/blob/main/.github/skills/experimental/graphify/SKILL.md) +* Upstream project: [github.com/safishamsi/graphify](https://github.com/safishamsi/graphify) +* Collections overview: [Available Collections](../../getting-started/collections.md) +* How agents are structured: [Agent Systems Catalog](../README.md) + +*🤖 Crafted with precision by ✨Copilot following brilliant human instruction, then carefully refined by our team of discerning human reviewers.* diff --git a/docs/agents/graphify/_category_.json b/docs/agents/graphify/_category_.json new file mode 100644 index 000000000..c4d234599 --- /dev/null +++ b/docs/agents/graphify/_category_.json @@ -0,0 +1,9 @@ +{ + "label": "Graph Research", + "position": 8, + "collapsible": true, + "collapsed": true, + "link": { + "type": "generated-index" + } +} diff --git a/plugins/experimental/README.md b/plugins/experimental/README.md index 42c50be35..9bc6baaf8 100644 --- a/plugins/experimental/README.md +++ b/plugins/experimental/README.md @@ -16,6 +16,7 @@ Experimental and preview artifacts not yet promoted to stable collections. Items | Name | Description | |-------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------| | **experiment-designer** | Conversational coach that guides users through designing a Minimum Viable Experiment (MVE) with structured hypothesis formation, vetting, and experiment planning | +| **graph-researcher** | Answers structural questions about a codebase by querying a graphify-built knowledge graph through MCP tools, returning evidence-tagged findings | | **pptx** | Creates, updates, and manages PowerPoint slide decks using YAML-driven content with python-pptx | | **pptx-subagent** | Executes PowerPoint skill operations including content extraction, YAML creation, deck building, and visual validation | @@ -24,6 +25,7 @@ Experimental and preview artifacts not yet promoted to stable collections. Items | Name | Description | |--------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | **experimental/experiment-designer** | MVE domain knowledge and coaching conventions for the Experiment Designer agent | +| **experimental/graphify** | Conventions for working with graphify-out/ directories and graph-derived evidence | | **experimental/pptx** | Shared conventions for PowerPoint Builder agent, subagent, and powerpoint skill | | **shared/hve-core-location** | Important: hve-core is the repository containing this instruction file; Guidance: if a referenced prompt, instructions, agent, or script is missing in the current directory, fall back to this hve-core location by walking up this file's directory tree. | @@ -32,6 +34,7 @@ Experimental and preview artifacts not yet promoted to stable collections. Items | Name | Description | |--------------------------|----------------------------------------------------------------------------------------------------------------------------------------------| | **customer-card-render** | Generate customer-card PowerPoint content YAML from Design Thinking canonical artifacts and build using the shared PowerPoint skill pipeline | +| **graphify** | Build and query knowledge graphs over a codebase using the graphifyy CLI and MCP server | | **powerpoint** | PowerPoint slide deck generation and management using python-pptx with YAML-driven content and styling | | **video-to-gif** | Video-to-GIF conversion skill with FFmpeg two-pass optimization | | **vscode-playwright** | VS Code screenshot capture using Playwright MCP with serve-web for slide decks and documentation | @@ -49,6 +52,7 @@ copilot plugin install experimental@hve-core | Agent | Description | |---------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | experiment-designer | Conversational coach that guides users through designing a Minimum Viable Experiment (MVE) with structured hypothesis formation, vetting, and experiment planning - Brought to you by microsoft/hve-core | +| graph-researcher | Answers structural questions about a codebase by querying a graphify-built knowledge graph through MCP tools, returning evidence-tagged findings | | pptx | Creates, updates, and manages PowerPoint slide decks using YAML-driven content with python-pptx | | pptx-subagent | Executes PowerPoint skill operations including content extraction, YAML creation, deck building, and visual validation | @@ -57,6 +61,7 @@ copilot plugin install experimental@hve-core | Instruction | Description | |----------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | experiment-designer.instructions | MVE domain knowledge and coaching conventions for the Experiment Designer agent - Brought to you by microsoft/hve-core | +| graphify.instructions | Conventions for working with graphify-out/ directories and graph-derived evidence | | pptx.instructions | Shared conventions for PowerPoint Builder agent, subagent, and powerpoint skill | | hve-core-location.instructions | Important: hve-core is the repository containing this instruction file; Guidance: if a referenced prompt, instructions, agent, or script is missing in the current directory, fall back to this hve-core location by walking up this file's directory tree. | @@ -65,6 +70,7 @@ copilot plugin install experimental@hve-core | Skill | Description | |----------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | customer-card-render | Generate customer-card PowerPoint content YAML from Design Thinking canonical artifacts and build using the shared PowerPoint skill pipeline - Brought to you by microsoft/hve-core | +| graphify | Build and query knowledge graphs over a codebase using the graphifyy CLI and MCP server - Brought to you by microsoft/hve-core | | powerpoint | PowerPoint slide deck generation and management using python-pptx with YAML-driven content and styling - Brought to you by microsoft/hve-core | | video-to-gif | Video-to-GIF conversion skill with FFmpeg two-pass optimization - Brought to you by microsoft/hve-core | | vscode-playwright | VS Code screenshot capture using Playwright MCP with serve-web for slide decks and documentation - Brought to you by microsoft/hve-core | diff --git a/plugins/experimental/agents/experimental/graph-researcher.md b/plugins/experimental/agents/experimental/graph-researcher.md new file mode 120000 index 000000000..8867928f7 --- /dev/null +++ b/plugins/experimental/agents/experimental/graph-researcher.md @@ -0,0 +1 @@ +../../../../.github/agents/experimental/graph-researcher.agent.md \ No newline at end of file diff --git a/plugins/experimental/instructions/experimental/graphify.instructions.md b/plugins/experimental/instructions/experimental/graphify.instructions.md new file mode 120000 index 000000000..1b10f1730 --- /dev/null +++ b/plugins/experimental/instructions/experimental/graphify.instructions.md @@ -0,0 +1 @@ +../../../../.github/instructions/experimental/graphify.instructions.md \ No newline at end of file diff --git a/plugins/experimental/skills/experimental/graphify b/plugins/experimental/skills/experimental/graphify new file mode 120000 index 000000000..6c7fd4176 --- /dev/null +++ b/plugins/experimental/skills/experimental/graphify @@ -0,0 +1 @@ +../../../../.github/skills/experimental/graphify \ No newline at end of file diff --git a/plugins/hve-core-all/README.md b/plugins/hve-core-all/README.md index c11f5efd7..3d88e3d81 100644 --- a/plugins/hve-core-all/README.md +++ b/plugins/hve-core-all/README.md @@ -38,6 +38,7 @@ Use this edition when you want access to everything without choosing a focused c | **gen-jupyter-notebook** | Create structured exploratory data analysis Jupyter notebooks from available data sources and generated data dictionaries | | **gen-streamlit-dashboard** | Develop a multi-page Streamlit dashboard | | **github-backlog-manager** | Orchestrator agent for GitHub backlog management workflows including triage, discovery, sprint planning, and execution | +| **graph-researcher** | Answers structural questions about a codebase by querying a graphify-built knowledge graph through MCP tools, returning evidence-tagged findings | | **implementation-validator** | Validates implementation quality against architectural requirements, design principles, and code standards with severity-graded findings | | **jira-backlog-manager** | Orchestrator agent for Jira backlog management workflows including discovery, triage, execution, and single-issue actions | | **jira-prd-to-wit** | Product Manager expert for analyzing PRDs and planning Jira issue hierarchies without mutating Jira | @@ -216,6 +217,7 @@ Use this edition when you want access to everything without choosing a focused c | **design-thinking/dt-rpi-review-context** | DT-aware Task Reviewer context: quality criteria for Design Thinking artifacts | | **design-thinking/dt-subagent-handoff** | DT subagent handoff workflow: readiness assessment, artifact compilation, and handoff validation via subagent dispatch | | **experimental/experiment-designer** | MVE domain knowledge and coaching conventions for the Experiment Designer agent | +| **experimental/graphify** | Conventions for working with graphify-out/ directories and graph-derived evidence | | **experimental/pptx** | Shared conventions for PowerPoint Builder agent, subagent, and powerpoint skill | | **github/community-interaction** | Community interaction voice, tone, and response templates for GitHub-facing agents and prompts | | **github/github-backlog-discovery** | Discovery protocol for GitHub backlog management - artifact-driven, user-centric, and search-based issue discovery | @@ -262,6 +264,7 @@ Use this edition when you want access to everything without choosing a focused c | **customer-card-render** | Generate customer-card PowerPoint content YAML from Design Thinking canonical artifacts and build using the shared PowerPoint skill pipeline | | **gh-code-scanning** | Retrieves and groups GitHub code scanning alerts by rule and severity using the gh CLI | | **gitlab** | Manage GitLab merge requests and pipelines with a Python CLI | +| **graphify** | Build and query knowledge graphs over a codebase using the graphifyy CLI and MCP server | | **hve-core-installer** | Decision-driven installer for HVE-Core with 6 clone-based installation methods, extension quick-install, environment detection, and agent customization workflows | | **jira** | Jira issue workflows for search, issue updates, transitions, comments, and field discovery via the Jira REST API. Use when you need to search with JQL, inspect an issue, create or update work items, move an issue between statuses, post comments, or discover required fields for issue creation. | | **owasp-agentic** | OWASP Agentic Security Top 10 vulnerability knowledge base for identifying, assessing, and remediating security risks in AI agent systems - Brought to you by microsoft/hve-core. | @@ -303,6 +306,7 @@ copilot plugin install hve-core-all@hve-core | dt-coach | Design Thinking coach guiding teams through the 9-method HVE framework with Think/Speak/Empower philosophy - Brought to you by microsoft/hve-core | | dt-learning-tutor | Design Thinking learning tutor providing structured curriculum, comprehension checks, and adaptive pacing - Brought to you by microsoft/hve-core | | experiment-designer | Conversational coach that guides users through designing a Minimum Viable Experiment (MVE) with structured hypothesis formation, vetting, and experiment planning - Brought to you by microsoft/hve-core | +| graph-researcher | Answers structural questions about a codebase by querying a graphify-built knowledge graph through MCP tools, returning evidence-tagged findings | | pptx | Creates, updates, and manages PowerPoint slide decks using YAML-driven content with python-pptx | | pptx-subagent | Executes PowerPoint skill operations including content extraction, YAML creation, deck building, and visual validation | | github-backlog-manager | Orchestrator agent for GitHub backlog management workflows including triage, discovery, sprint planning, and execution - Brought to you by microsoft/hve-core | @@ -488,6 +492,7 @@ copilot plugin install hve-core-all@hve-core | dt-rpi-review-context.instructions | DT-aware Task Reviewer context: quality criteria for Design Thinking artifacts | | dt-subagent-handoff.instructions | DT subagent handoff workflow: readiness assessment, artifact compilation, and handoff validation via subagent dispatch | | experiment-designer.instructions | MVE domain knowledge and coaching conventions for the Experiment Designer agent - Brought to you by microsoft/hve-core | +| graphify.instructions | Conventions for working with graphify-out/ directories and graph-derived evidence | | pptx.instructions | Shared conventions for PowerPoint Builder agent, subagent, and powerpoint skill | | community-interaction.instructions | Community interaction voice, tone, and response templates for GitHub-facing agents and prompts | | github-backlog-discovery.instructions | Discovery protocol for GitHub backlog management - artifact-driven, user-centric, and search-based issue discovery | @@ -533,6 +538,7 @@ copilot plugin install hve-core-all@hve-core |---------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | python-foundational | Foundational Python best practices, idioms, and code quality fundamentals - Brought to you by microsoft/hve-core | | customer-card-render | Generate customer-card PowerPoint content YAML from Design Thinking canonical artifacts and build using the shared PowerPoint skill pipeline - Brought to you by microsoft/hve-core | +| graphify | Build and query knowledge graphs over a codebase using the graphifyy CLI and MCP server - Brought to you by microsoft/hve-core | | powerpoint | PowerPoint slide deck generation and management using python-pptx with YAML-driven content and styling - Brought to you by microsoft/hve-core | | video-to-gif | Video-to-GIF conversion skill with FFmpeg two-pass optimization - Brought to you by microsoft/hve-core | | vscode-playwright | VS Code screenshot capture using Playwright MCP with serve-web for slide decks and documentation - Brought to you by microsoft/hve-core | diff --git a/plugins/hve-core-all/agents/experimental/graph-researcher.md b/plugins/hve-core-all/agents/experimental/graph-researcher.md new file mode 120000 index 000000000..8867928f7 --- /dev/null +++ b/plugins/hve-core-all/agents/experimental/graph-researcher.md @@ -0,0 +1 @@ +../../../../.github/agents/experimental/graph-researcher.agent.md \ No newline at end of file diff --git a/plugins/hve-core-all/instructions/experimental/graphify.instructions.md b/plugins/hve-core-all/instructions/experimental/graphify.instructions.md new file mode 120000 index 000000000..1b10f1730 --- /dev/null +++ b/plugins/hve-core-all/instructions/experimental/graphify.instructions.md @@ -0,0 +1 @@ +../../../../.github/instructions/experimental/graphify.instructions.md \ No newline at end of file diff --git a/plugins/hve-core-all/skills/experimental/graphify b/plugins/hve-core-all/skills/experimental/graphify new file mode 120000 index 000000000..6c7fd4176 --- /dev/null +++ b/plugins/hve-core-all/skills/experimental/graphify @@ -0,0 +1 @@ +../../../../.github/skills/experimental/graphify \ No newline at end of file